ArabicNewSplits7_usingALLEssays_FineTuningAraBERT_run3_AugV5_k5_task2_organization

This model is a fine-tuned version of aubmindlab/bert-base-arabertv02 on the None dataset. It achieves the following results on the evaluation set:

  • Loss: 1.3177
  • Qwk: 0.1652
  • Mse: 1.3177
  • Rmse: 1.1479

Model description

More information needed

Intended uses & limitations

More information needed

Training and evaluation data

More information needed

Training procedure

Training hyperparameters

The following hyperparameters were used during training:

  • learning_rate: 2e-05
  • train_batch_size: 8
  • eval_batch_size: 8
  • seed: 42
  • optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
  • lr_scheduler_type: linear
  • num_epochs: 100

Training results

Training Loss Epoch Step Validation Loss Qwk Mse Rmse
No log 0.1111 2 4.7476 0.0010 4.7476 2.1789
No log 0.2222 4 2.8391 -0.0278 2.8391 1.6850
No log 0.3333 6 2.1660 -0.0575 2.1660 1.4717
No log 0.4444 8 2.7209 -0.0778 2.7209 1.6495
No log 0.5556 10 2.2506 -0.0524 2.2506 1.5002
No log 0.6667 12 1.7245 0.0428 1.7245 1.3132
No log 0.7778 14 1.6260 0.1257 1.6260 1.2752
No log 0.8889 16 1.6942 0.1395 1.6942 1.3016
No log 1.0 18 1.6402 0.1395 1.6402 1.2807
No log 1.1111 20 1.4096 0.1459 1.4096 1.1873
No log 1.2222 22 1.3497 0.1779 1.3497 1.1618
No log 1.3333 24 1.5925 0.2005 1.5925 1.2619
No log 1.4444 26 1.5440 0.2653 1.5440 1.2426
No log 1.5556 28 1.8207 0.2021 1.8207 1.3493
No log 1.6667 30 2.0540 0.1019 2.0540 1.4332
No log 1.7778 32 1.7600 0.1824 1.7600 1.3267
No log 1.8889 34 1.3816 0.2605 1.3816 1.1754
No log 2.0 36 1.2574 0.1549 1.2574 1.1214
No log 2.1111 38 1.3069 0.2851 1.3069 1.1432
No log 2.2222 40 1.5706 0.3133 1.5706 1.2532
No log 2.3333 42 1.6028 0.3133 1.6028 1.2660
No log 2.4444 44 1.6233 0.2544 1.6233 1.2741
No log 2.5556 46 1.4258 0.2880 1.4258 1.1941
No log 2.6667 48 1.2478 0.2738 1.2478 1.1170
No log 2.7778 50 1.1830 0.2647 1.1830 1.0877
No log 2.8889 52 1.2579 0.2808 1.2579 1.1215
No log 3.0 54 1.3277 0.3144 1.3277 1.1523
No log 3.1111 56 1.4231 0.3056 1.4231 1.1930
No log 3.2222 58 1.7321 0.2808 1.7321 1.3161
No log 3.3333 60 1.9797 0.2853 1.9797 1.4070
No log 3.4444 62 1.5448 0.2658 1.5448 1.2429
No log 3.5556 64 1.0565 0.3556 1.0565 1.0279
No log 3.6667 66 1.0994 0.3455 1.0994 1.0485
No log 3.7778 68 1.1591 0.2218 1.1591 1.0766
No log 3.8889 70 1.0440 0.1935 1.0440 1.0218
No log 4.0 72 1.0822 0.2938 1.0822 1.0403
No log 4.1111 74 1.2919 0.2074 1.2919 1.1366
No log 4.2222 76 1.3029 0.2074 1.3029 1.1415
No log 4.3333 78 1.2480 0.2161 1.2480 1.1172
No log 4.4444 80 1.2352 0.2446 1.2352 1.1114
No log 4.5556 82 1.3092 0.1875 1.3092 1.1442
No log 4.6667 84 1.3898 0.1621 1.3898 1.1789
No log 4.7778 86 1.4169 0.1501 1.4169 1.1903
No log 4.8889 88 1.3393 0.1395 1.3393 1.1573
No log 5.0 90 1.1955 0.2702 1.1955 1.0934
No log 5.1111 92 1.1490 0.2824 1.1490 1.0719
No log 5.2222 94 1.1816 0.3436 1.1816 1.0870
No log 5.3333 96 1.2783 0.3361 1.2783 1.1306
No log 5.4444 98 1.5598 0.2526 1.5598 1.2489
No log 5.5556 100 1.8485 0.2052 1.8485 1.3596
No log 5.6667 102 1.7682 0.2246 1.7682 1.3297
No log 5.7778 104 1.3949 0.2469 1.3949 1.1811
No log 5.8889 106 1.1065 0.3033 1.1065 1.0519
No log 6.0 108 1.0707 0.4160 1.0707 1.0347
No log 6.1111 110 1.0603 0.3205 1.0603 1.0297
No log 6.2222 112 1.1192 0.2824 1.1192 1.0579
No log 6.3333 114 1.2779 0.2564 1.2779 1.1305
No log 6.4444 116 1.2175 0.2280 1.2175 1.1034
No log 6.5556 118 1.1052 0.2593 1.1052 1.0513
No log 6.6667 120 1.1127 0.2501 1.1127 1.0548
No log 6.7778 122 1.1054 0.2824 1.1054 1.0514
No log 6.8889 124 1.1137 0.2824 1.1137 1.0553
No log 7.0 126 1.0805 0.3397 1.0805 1.0395
No log 7.1111 128 1.1789 0.2985 1.1789 1.0858
No log 7.2222 130 1.1384 0.3584 1.1384 1.0670
No log 7.3333 132 1.0798 0.3812 1.0798 1.0391
No log 7.4444 134 1.1013 0.4246 1.1013 1.0494
No log 7.5556 136 1.1624 0.3682 1.1624 1.0781
No log 7.6667 138 1.2994 0.3087 1.2994 1.1399
No log 7.7778 140 1.3392 0.2922 1.3392 1.1573
No log 7.8889 142 1.2923 0.2789 1.2923 1.1368
No log 8.0 144 1.4526 0.2880 1.4526 1.2052
No log 8.1111 146 1.4075 0.3355 1.4075 1.1864
No log 8.2222 148 1.2356 0.2746 1.2356 1.1116
No log 8.3333 150 1.1451 0.2361 1.1451 1.0701
No log 8.4444 152 1.0979 0.4323 1.0979 1.0478
No log 8.5556 154 1.1120 0.3305 1.1120 1.0545
No log 8.6667 156 1.2412 0.2673 1.2412 1.1141
No log 8.7778 158 1.2851 0.2359 1.2851 1.1336
No log 8.8889 160 1.1901 0.3074 1.1901 1.0909
No log 9.0 162 1.1216 0.2501 1.1216 1.0591
No log 9.1111 164 1.1330 0.2501 1.1330 1.0644
No log 9.2222 166 1.2713 0.2746 1.2713 1.1275
No log 9.3333 168 1.4340 0.2602 1.4340 1.1975
No log 9.4444 170 1.3790 0.3290 1.3790 1.1743
No log 9.5556 172 1.3845 0.3204 1.3845 1.1766
No log 9.6667 174 1.2104 0.3111 1.2104 1.1002
No log 9.7778 176 1.1952 0.3111 1.1952 1.0933
No log 9.8889 178 1.2727 0.2798 1.2727 1.1281
No log 10.0 180 1.1620 0.3484 1.1620 1.0780
No log 10.1111 182 1.1292 0.3355 1.1292 1.0626
No log 10.2222 184 1.0969 0.4549 1.0969 1.0473
No log 10.3333 186 1.2070 0.3307 1.2070 1.0986
No log 10.4444 188 1.3476 0.3002 1.3476 1.1609
No log 10.5556 190 1.2029 0.3307 1.2029 1.0968
No log 10.6667 192 1.1533 0.2895 1.1533 1.0739
No log 10.7778 194 1.0789 0.3516 1.0789 1.0387
No log 10.8889 196 1.1043 0.2511 1.1043 1.0509
No log 11.0 198 1.2067 0.2507 1.2067 1.0985
No log 11.1111 200 1.1575 0.2796 1.1575 1.0759
No log 11.2222 202 1.1604 0.2654 1.1604 1.0772
No log 11.3333 204 1.1451 0.2366 1.1451 1.0701
No log 11.4444 206 1.2403 0.2597 1.2403 1.1137
No log 11.5556 208 1.4762 0.2223 1.4762 1.2150
No log 11.6667 210 1.5330 0.2593 1.5330 1.2381
No log 11.7778 212 1.2862 0.2529 1.2862 1.1341
No log 11.8889 214 1.1027 0.3584 1.1027 1.0501
No log 12.0 216 1.0848 0.3688 1.0848 1.0415
No log 12.1111 218 1.1207 0.3891 1.1207 1.0586
No log 12.2222 220 1.2448 0.2604 1.2448 1.1157
No log 12.3333 222 1.2321 0.2615 1.2321 1.1100
No log 12.4444 224 1.1313 0.3572 1.1313 1.0636
No log 12.5556 226 1.0688 0.2633 1.0688 1.0338
No log 12.6667 228 1.0695 0.2633 1.0695 1.0342
No log 12.7778 230 1.1407 0.2605 1.1407 1.0680
No log 12.8889 232 1.2795 0.3621 1.2795 1.1311
No log 13.0 234 1.2674 0.3466 1.2674 1.1258
No log 13.1111 236 1.0998 0.3312 1.0998 1.0487
No log 13.2222 238 1.0820 0.3607 1.0820 1.0402
No log 13.3333 240 1.0960 0.3648 1.0960 1.0469
No log 13.4444 242 1.1714 0.3008 1.1714 1.0823
No log 13.5556 244 1.1777 0.3008 1.1777 1.0852
No log 13.6667 246 1.1604 0.3056 1.1604 1.0772
No log 13.7778 248 1.2063 0.2467 1.2063 1.0983
No log 13.8889 250 1.2838 0.2895 1.2838 1.1330
No log 14.0 252 1.3982 0.2017 1.3982 1.1824
No log 14.1111 254 1.4189 0.2017 1.4189 1.1912
No log 14.2222 256 1.2895 0.2702 1.2895 1.1356
No log 14.3333 258 1.1903 0.2452 1.1903 1.0910
No log 14.4444 260 1.1982 0.1943 1.1982 1.0946
No log 14.5556 262 1.2337 0.2467 1.2337 1.1107
No log 14.6667 264 1.2229 0.2088 1.2229 1.1059
No log 14.7778 266 1.2148 0.1691 1.2148 1.1022
No log 14.8889 268 1.2034 0.0925 1.2034 1.0970
No log 15.0 270 1.2224 0.1503 1.2224 1.1056
No log 15.1111 272 1.2941 0.2374 1.2941 1.1376
No log 15.2222 274 1.4009 0.3061 1.4009 1.1836
No log 15.3333 276 1.3380 0.2757 1.3380 1.1567
No log 15.4444 278 1.1603 0.2311 1.1603 1.0772
No log 15.5556 280 1.1256 0.3085 1.1256 1.0609
No log 15.6667 282 1.1248 0.3113 1.1248 1.0606
No log 15.7778 284 1.1151 0.1975 1.1151 1.0560
No log 15.8889 286 1.1683 0.1996 1.1683 1.0809
No log 16.0 288 1.2648 0.2687 1.2648 1.1246
No log 16.1111 290 1.2696 0.3395 1.2696 1.1268
No log 16.2222 292 1.1354 0.2270 1.1354 1.0656
No log 16.3333 294 1.0934 0.3566 1.0934 1.0457
No log 16.4444 296 1.1028 0.3482 1.1028 1.0501
No log 16.5556 298 1.0914 0.2871 1.0914 1.0447
No log 16.6667 300 1.1638 0.2581 1.1638 1.0788
No log 16.7778 302 1.2953 0.3061 1.2953 1.1381
No log 16.8889 304 1.3126 0.3304 1.3126 1.1457
No log 17.0 306 1.1593 0.2806 1.1593 1.0767
No log 17.1111 308 1.0736 0.4232 1.0736 1.0362
No log 17.2222 310 1.0745 0.4232 1.0745 1.0366
No log 17.3333 312 1.0901 0.2871 1.0901 1.0441
No log 17.4444 314 1.1855 0.2266 1.1855 1.0888
No log 17.5556 316 1.2560 0.2520 1.2560 1.1207
No log 17.6667 318 1.1788 0.3144 1.1788 1.0857
No log 17.7778 320 1.1157 0.2779 1.1157 1.0563
No log 17.8889 322 1.0750 0.2544 1.0750 1.0368
No log 18.0 324 1.0690 0.3733 1.0690 1.0339
No log 18.1111 326 1.0869 0.2730 1.0869 1.0426
No log 18.2222 328 1.1647 0.2657 1.1647 1.0792
No log 18.3333 330 1.2782 0.3145 1.2782 1.1306
No log 18.4444 332 1.3373 0.3159 1.3373 1.1564
No log 18.5556 334 1.2583 0.3179 1.2583 1.1217
No log 18.6667 336 1.2301 0.2984 1.2301 1.1091
No log 18.7778 338 1.2907 0.3220 1.2907 1.1361
No log 18.8889 340 1.3533 0.2875 1.3533 1.1633
No log 19.0 342 1.4951 0.1977 1.4951 1.2228
No log 19.1111 344 1.5784 0.2338 1.5784 1.2564
No log 19.2222 346 1.4148 0.2430 1.4148 1.1895
No log 19.3333 348 1.2033 0.2984 1.2033 1.0970
No log 19.4444 350 1.0984 0.2169 1.0984 1.0480
No log 19.5556 352 1.0939 0.1517 1.0939 1.0459
No log 19.6667 354 1.1190 0.2461 1.1190 1.0578
No log 19.7778 356 1.2545 0.2825 1.2545 1.1200
No log 19.8889 358 1.3439 0.2411 1.3439 1.1593
No log 20.0 360 1.3368 0.1935 1.3368 1.1562
No log 20.1111 362 1.2445 0.3074 1.2445 1.1156
No log 20.2222 364 1.2170 0.3389 1.2170 1.1032
No log 20.3333 366 1.2068 0.3389 1.2068 1.0985
No log 20.4444 368 1.2033 0.3389 1.2033 1.0970
No log 20.5556 370 1.2762 0.2620 1.2762 1.1297
No log 20.6667 372 1.2654 0.3207 1.2654 1.1249
No log 20.7778 374 1.1934 0.3389 1.1934 1.0924
No log 20.8889 376 1.1651 0.2732 1.1651 1.0794
No log 21.0 378 1.1467 0.2273 1.1467 1.0709
No log 21.1111 380 1.1226 0.1785 1.1226 1.0595
No log 21.2222 382 1.1159 0.1766 1.1159 1.0563
No log 21.3333 384 1.1398 0.2521 1.1398 1.0676
No log 21.4444 386 1.2182 0.2459 1.2182 1.1037
No log 21.5556 388 1.3386 0.2554 1.3386 1.1570
No log 21.6667 390 1.3597 0.2744 1.3597 1.1661
No log 21.7778 392 1.2216 0.2772 1.2216 1.1053
No log 21.8889 394 1.1425 0.3397 1.1425 1.0689
No log 22.0 396 1.1606 0.3347 1.1606 1.0773
No log 22.1111 398 1.1808 0.2657 1.1808 1.0867
No log 22.2222 400 1.1994 0.2746 1.1994 1.0952
No log 22.3333 402 1.1393 0.2917 1.1393 1.0674
No log 22.4444 404 1.1328 0.2417 1.1328 1.0643
No log 22.5556 406 1.1578 0.2088 1.1578 1.0760
No log 22.6667 408 1.1495 0.1943 1.1495 1.0722
No log 22.7778 410 1.1702 0.2467 1.1702 1.0818
No log 22.8889 412 1.1353 0.1841 1.1353 1.0655
No log 23.0 414 1.1166 0.1841 1.1166 1.0567
No log 23.1111 416 1.1198 0.1841 1.1198 1.0582
No log 23.2222 418 1.1094 0.1841 1.1094 1.0533
No log 23.3333 420 1.1155 0.1990 1.1155 1.0562
No log 23.4444 422 1.1916 0.2100 1.1916 1.0916
No log 23.5556 424 1.3374 0.1984 1.3374 1.1564
No log 23.6667 426 1.3763 0.2236 1.3763 1.1731
No log 23.7778 428 1.2163 0.3028 1.2163 1.1029
No log 23.8889 430 1.1025 0.2088 1.1025 1.0500
No log 24.0 432 1.0669 0.3286 1.0669 1.0329
No log 24.1111 434 1.0634 0.4160 1.0634 1.0312
No log 24.2222 436 1.0695 0.3555 1.0695 1.0342
No log 24.3333 438 1.1756 0.2746 1.1756 1.0842
No log 24.4444 440 1.3459 0.2586 1.3459 1.1601
No log 24.5556 442 1.3039 0.2314 1.3039 1.1419
No log 24.6667 444 1.1445 0.2762 1.1445 1.0698
No log 24.7778 446 1.0566 0.3039 1.0566 1.0279
No log 24.8889 448 1.0838 0.2995 1.0838 1.0410
No log 25.0 450 1.0887 0.2995 1.0887 1.0434
No log 25.1111 452 1.0559 0.3652 1.0559 1.0276
No log 25.2222 454 1.0681 0.2795 1.0681 1.0335
No log 25.3333 456 1.2035 0.3028 1.2035 1.0971
No log 25.4444 458 1.3404 0.2075 1.3404 1.1578
No log 25.5556 460 1.3714 0.2357 1.3714 1.1711
No log 25.6667 462 1.2633 0.2663 1.2633 1.1240
No log 25.7778 464 1.1940 0.2734 1.1940 1.0927
No log 25.8889 466 1.1117 0.1943 1.1117 1.0544
No log 26.0 468 1.0964 0.2366 1.0964 1.0471
No log 26.1111 470 1.0845 0.3250 1.0845 1.0414
No log 26.2222 472 1.0915 0.3390 1.0915 1.0448
No log 26.3333 474 1.1321 0.2232 1.1321 1.0640
No log 26.4444 476 1.2207 0.1667 1.2207 1.1049
No log 26.5556 478 1.3621 0.2411 1.3621 1.1671
No log 26.6667 480 1.3168 0.2366 1.3168 1.1475
No log 26.7778 482 1.2057 0.2718 1.2057 1.0981
No log 26.8889 484 1.1484 0.2232 1.1484 1.0716
No log 27.0 486 1.1482 0.2232 1.1482 1.0715
No log 27.1111 488 1.1439 0.2232 1.1439 1.0695
No log 27.2222 490 1.1595 0.2232 1.1595 1.0768
No log 27.3333 492 1.1505 0.2085 1.1505 1.0726
No log 27.4444 494 1.1472 0.1990 1.1472 1.0711
No log 27.5556 496 1.1529 0.2138 1.1529 1.0737
No log 27.6667 498 1.1927 0.1951 1.1927 1.0921
0.3047 27.7778 500 1.2881 0.2010 1.2881 1.1350
0.3047 27.8889 502 1.3182 0.1921 1.3182 1.1481
0.3047 28.0 504 1.3402 0.1921 1.3402 1.1577
0.3047 28.1111 506 1.3467 0.2010 1.3467 1.1605
0.3047 28.2222 508 1.2586 0.2049 1.2586 1.1219
0.3047 28.3333 510 1.1771 0.2593 1.1771 1.0850
0.3047 28.4444 512 1.1859 0.2593 1.1859 1.0890
0.3047 28.5556 514 1.2557 0.2002 1.2557 1.1206
0.3047 28.6667 516 1.3231 0.1257 1.3231 1.1503
0.3047 28.7778 518 1.3030 0.1257 1.3030 1.1415
0.3047 28.8889 520 1.2058 0.2374 1.2058 1.0981
0.3047 29.0 522 1.1346 0.3174 1.1346 1.0652
0.3047 29.1111 524 1.1554 0.3590 1.1554 1.0749
0.3047 29.2222 526 1.1669 0.3590 1.1669 1.0802
0.3047 29.3333 528 1.1460 0.3661 1.1460 1.0705
0.3047 29.4444 530 1.1763 0.3169 1.1763 1.0846
0.3047 29.5556 532 1.3614 0.1009 1.3614 1.1668
0.3047 29.6667 534 1.4941 0.1522 1.4941 1.2223
0.3047 29.7778 536 1.4585 0.1566 1.4585 1.2077
0.3047 29.8889 538 1.3202 0.1311 1.3202 1.1490
0.3047 30.0 540 1.1973 0.2942 1.1973 1.0942
0.3047 30.1111 542 1.1620 0.2757 1.1620 1.0780
0.3047 30.2222 544 1.1556 0.2966 1.1556 1.0750
0.3047 30.3333 546 1.1541 0.2616 1.1541 1.0743
0.3047 30.4444 548 1.1565 0.2454 1.1565 1.0754
0.3047 30.5556 550 1.1956 0.1996 1.1956 1.0935
0.3047 30.6667 552 1.3420 0.1395 1.3420 1.1584
0.3047 30.7778 554 1.4615 0.0876 1.4615 1.2089
0.3047 30.8889 556 1.4540 0.1457 1.4540 1.2058
0.3047 31.0 558 1.3177 0.1652 1.3177 1.1479

Framework versions

  • Transformers 4.44.2
  • Pytorch 2.4.0+cu118
  • Datasets 2.21.0
  • Tokenizers 0.19.1
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